Marcin Pacek
Impact in
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Fungal and yeast genetics research
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 5
- DNA and Nucleic Acid Chemistry 2
- Genomics and Chromatin Dynamics 2
- Advanced Biosensing Techniques and Applications 2
- RNA Research and Splicing 2
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- Antibiotic Resistance in Bacteria 3
- Co-authors
- Johannes C. Walter (4 shared papers)Muh‐Ching Yee (1 shared paper)Karlene A. Cimprich (1 shared paper)Tony Byun (1 shared paper)Haruhiko Takisawa (1 shared paper)Antonin Tutter (1 shared paper)Yumiko Kubota (1 shared paper)Igor Konieczny (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Biosensors and Bioelectronics (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Genes & Development (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesPolandJapan
In The Last Decade
Marcin Pacek
11 papers receiving 1.6k citations
Marcin Pacek's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 1.5k
- Cell Biology 290
- Cancer Research 218
- Oncology 282
- Genetics 234
Countries citing papers authored by Marcin Pacek
This map shows the geographic impact of Marcin Pacek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcin Pacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Pacek more than expected).
Fields of papers citing papers by Marcin Pacek
This network shows the impact of papers produced by Marcin Pacek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcin Pacek. The network helps show where Marcin Pacek may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Pacek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Functional uncoupling of MCM helicase and DNA polymerase activities activates the ATR-dependent checkpoint Hit paper breakdown → | 2005 | 608 |
| 2 | 2009 | 331 | |
| 3 | 2006 | 306 | |
| 4 | 2004 | 200 | |
| 5 | 2008 | 36 | |
| 6 | 2000 | 36 | |
| 7 | 2001 | 32 | |
| 8 | 2003 | 31 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 18 | |
| 11 | 2004 | 14 |
About Marcin Pacek
Marcin Pacek is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Immunology and Biomedical Engineering, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Genomics and Chromatin Dynamics (2 papers), Biosensors and Analytical Detection (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cell Biology (290 citations), Cancer Research (218 citations), Oncology (282 citations) and Genetics (234 citations). Marcin Pacek has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Johannes C. Walter, Muh‐Ching Yee, Karlene A. Cimprich, Tony Byun, Haruhiko Takisawa, Antonin Tutter, Yumiko Kubota, Igor Konieczny, Joshua LaBaer and Yanhui Hu. Their work appears in journals such as Journal of Biological Chemistry, Biosensors and Bioelectronics, PROTEOMICS - CLINICAL APPLICATIONS, Genes & Development and Genome Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.